03291nam a2200565 a 450000100080000000500110000800800410001902000220006010000190008224501340010126001010023530000090033652015280034565000130187365000250188665000210191165000350193265000120196765000190197965000250199865000270202365000260205065000220207665000260209865000270212465000100215165000250216165000400218665300090222665300240223565300240225965300140228365300430229765300400234065300260238065300210240665300160242765300230244365300240246665300240249065300140251465300240252865300290255265300410258165300190262265300190264170000190266070000220267970000240270120722232023-11-16       2017    bl uuuu     u00u1 u    #d  a978-85-17-00088-11 aPAPA, D. de A.  aPlanejamento de unidades de gestão diferenciada em projeto de manejo florestal sustentável na Amazônia.h[electronic resource]  aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... Santos: Inpec2017  a6 p.  aAmong the logging methods, the Exploration of Reduced Impact (ERI) is the one that brings most financial benefits to producers and to the environment due to the use of macro and micro forest planning techniques. The limitation of this method is the systematic techniques to planning the area, using analogic X,Y coordinate to locate trees and streams on the inventory process. With low accuracy to represent the physical environment and location of trees in production units results in a low operating efficiency and higher environmental interference. The purpose of this work is to integrate the forest planning considering environmental heterogeneity, integrating GNSS receiver, radar altimetric data (SRTM) and the hydrographic micro zoning. The study was done in Sena Madureira, state of Acre, Brazil From the inventory of 5.992 trees generated a volume raster and from the stream shape could be possible to construct the permanent protection area (APP). With this both information, using raster calculate processes, were created 4 unites of management areas. Each unit of management has differentiated intensive capacity to receive infrastructure of yard, road and skidtrail. The categories are: 0 to 60 volume m ³. ha-1, 60.01 to 90 m ³. ha-1, 90.01 to 120.00 m ³. ha-1 and 120.01 to 150 m ³. ha-1, discounting the areas of environmental protection and hydrography. Adopting additional information as volumetry, APPs and hydrographic micro zoning unit differentiated management of forest management in the Amazon.  aAccuracy  aEnvironmental impact  aForest inventory  aGeographic information systems  aLogging  aRemote sensing  aSustainable forestry  aExploração florestal  aExtração da madeira  aImpacto ambiental  aInventário florestal  aPlanejamento florestal  aRadar  aSensoriamento remoto  aSistema de informação geográfica  aAcre  aAmazonia Occidental  aAmazônia Ocidental  aExactitud  aExploração de Impacto Reduzido (EIR)  aExploration of Reduced Impact (ERI)  aExplotación forestal  aFazenda Guarujá  aGeotécnica  aInventário a 100%  aInventario forestal  aManejo de precisão  aModeflora  aSena Madureira (AC)  aSilvicultura sustentable  aSistemas de información geográfica  aTeledetección  aWestern Amazon1 aCAMARGO, A. P.1 aFIGUEIREDO, E. O.1 aRODRIGUEZ, L. C. E.